The new standard forBioinformaticsas a service

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What is bioinformatics as a service?

Our service is designed for scientists who want easy access to just the right kind of bioinformatics expertise. Watch the video to learn how it works.

Tell us about your bioinformatics needs

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Omics data analysis

We analyze omics data from sequencing, array and mass-spec experiments

DNA sequencing data analysis

DNA sequencing enables identifying mutations, assembling genomes and studying genetic variation in populations of any species.

We analyze DNA sequence data from whole genomes, exomes, sequencing panels, SNP arrays and metagenomic experiments.

RNA sequencing data analysis

Transcriptome-wide expression analyses are the standard approach to study molecular mechanisms in biological systems from single cells to complex microbiomes.

We analyze data from bulk RNA-seq, single-cell RNA-seq, small RNA-seq and a range of other transcriptomic measurements.

Single-cell RNA sequencing data analysis

Single-cell RNA sequencing enables cataloging cells at a scale and resolution unmatched by bulk sequencing.

We analyze single-cell RNA-seq data and integrate datasets across technology platforms, data types (including scATAC-seq), and species.

Spatial transcriptomic data analysis

Spatial transcriptomics provides a molecular view of the organization of complex tissues.

We have experience in both developing new spatial transcriptomics technologies and applying them in various normal tissues and pathologies, such as tumors.

Epigenomic data analysis

Epigenomics characterizes the chromatin state down to minuscule chemical modifications.

We analyze most types of epigenomic sequencing and array data to gain deeper understanding of gene regulation and to identify biomarkers for diseases.

Proteomic and metabolomic data analysis

Proteomics and metabolomics reveal the functional state of a biological system.

We perform pathway and biomarker analyses on protein and small molecule MS data.

Hear what our customers say

Every time I spoke to Genevia, I had a lot of questions that needed clear and accurate answers. It was very satisfying to receive incredibly patient explanations. The communication was faultless! Essentially, the project was a common journey to evolving the data, with a lot of learning on both sides, as Genevia poured in their own ideas while accommodating inputs from our side.

Vikash Reebye Principal Scientist MiNA Therapeutics

I don't have to worry about bioinformatics, because I can leave that to professionals. at the same time, our scientists have learned a lot about bioinformatics and it's possibilities.

Tuija Kekäräinen Research Director KCT

I was looking for a partner to validate and improve an algorithm that aims to identify the optimal combination of cancer therapy for each patient by assessing clinical data. The collaboration with Genevia’s team has gone without any challenges. Their response time is short, they are easy to communicate with and provide high-quality machine learning expertise.

Giuseppe Masucci M.D. Senior Consultant, Professor Dept. of Oncology-Pathology, Karolinska Institutet